Statistical Experiment Design & Interpretation - An Introduction with Agricultural Examples

Autor: Claire A. Collins, Frances M. Seeney

Język:

Oprawa: Twarda

Wydawca: John Wiley & Sons Inc

Dostępność: Dostępna u dostawcy

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Clearly written and free of statistical jargon, this invaluable guide concentrates on the practicali...

Informacje o książce

Autor

Claire A. Collins, Frances M. Seeney

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

1999

strony

288

EAN

9780471960065

ISBN

0471960063

Enbook ID

04894902

Wydawca

John Wiley & Sons Inc

Waga

606

Wymiary

180 x 252 x 22

Pełny opis

Clearly written and free of statistical jargon, this invaluable guide concentrates on the practicalities of statistical analysis for anyone involved with agricultural research. Each section starts with the key points, giving a quick reference to the contents and plenty of examples using a reala data. Successful experiment design starts with a statement of aims. The authors guide the reader through planning an experiment, including defining objectives, considering treatments, measurements of interest and the time and timing of assessments. Advantages and disadvantages of different experiment designs and the importance of data exploration and graphical presentation are covered, as are data collection, storage, validation and verification. Statistical techniques include the t--test, anlaysis of variance, basic regression analysis and non--parametric techniques. Assumptions inherent to these techniques are clearly identified (bearing in mind the principles and aims) without losing the reader in statistical theory. All of the techniques are illustrated with worked examples and give full interpretation of the results. Formulae are kept to a minimum in the main text, but are given in full in the appendix.

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